First commit

.gitignore

+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+log/
\ No newline at end of file

anpl/anpl.py

+from dataclasses import dataclass, field, astuple
+from typing import Optional, Any
+import ast
+from copy import deepcopy
+from numpy.testing import assert_equal
+
+@dataclass(frozen=True, eq=True)
+class IOExample:
+    inputs: dict[str, Any]
+    output: Any
+
+    def __eq__(self, __value: object) -> bool:
+        "compare data structures with numpy array."
+        if isinstance(__value, IOExample):
+            try:
+                assert_equal(astuple(self), astuple(__value))
+                return True
+            except AssertionError:
+                return False
+        else:
+            return False
+
+class FunRenamer(ast.NodeTransformer):
+    
+    def __init__(self, old_name, new_name):
+        self.old_name = old_name
+        self.new_name = new_name
+
+    def visit_Call(self, node):
+        if isinstance(node.func, ast.Name) and node.func.id == self.old_name:
+            node.func.id = self.new_name
+        return self.generic_visit(node)
+
+
+@dataclass
+class Function:
+    name: str
+
+    prompt: Optional[str] = None
+    code: Optional[ast.FunctionDef] = None
+    gloden_ios: list[IOExample] = field(default_factory=list) # Here is a typo
+
+    dependencies: list[str] = field(default_factory=list)
+
+    code_from_user: bool = False
+    prompt_from_user: bool = True
+    is_recursive: bool = False
+
+    # When changing code, remember to change dependencies and is_recursive
+
+    def reset_to_hole(self):
+        self.code = None
+        self.dependencies = []
+        self.code_from_user = False
+        self.is_recursive = False
+
+    def add_dependency(self, name: str):
+        if name not in self.dependencies:
+            self.dependencies.append(name)
+
+    def get_params(self):
+        assert self.code, "Cannot get params for hole"
+        return [arg.arg for arg in self.code.args.args]
+    
+    def rename(self, old_name: str, new_name: str):
+        if old_name in self.dependencies:
+            self.dependencies[self.dependencies.index(old_name)] = new_name
+            renamer = FunRenamer(old_name, new_name)
+            renamer.visit(self.code)
+
+    def clean_dep(self, funs_set: set[str]):
+        self.dependencies = list(filter(lambda x: x in funs_set, self.dependencies))
+    
+    @staticmethod
+    def merge_logic(s: Any, s_from_user: bool, f: Any, f_from_user: bool) -> Any:
+        if f_from_user: return f
+        elif s_from_user: return s
+        elif s: return s
+        else: return f
+    
+    def merge(self, f: 'Function'):
+        # gloden_ios come from user
+        if len(f.gloden_ios) > 0:
+            self.gloden_ios = f.gloden_ios
+
+        self.prompt = self.merge_logic(self.prompt, self.prompt_from_user, f.prompt, f.prompt_from_user)
+        self.prompt_from_user = self.prompt_from_user or f.prompt_from_user
+        
+        self.code = self.merge_logic(self.code, self.code_from_user, f.code, f.code_from_user)
+        self.dependencies = self.merge_logic(self.dependencies, self.code_from_user, f.dependencies, f.code_from_user)
+        self.is_recursive = self.merge_logic(self.is_recursive, self.code_from_user, f.is_recursive, f.code_from_user)
+        self.code_from_user = self.code_from_user or f.code_from_user
+        
+
+class ANPL:
+
+    ENV = ast.parse('''
+import numpy as np
+from collections import namedtuple
+from typing import *
+black, blue, red, green, yellow, grey, pink, orange, teal, maroon = range(10)
+''')
+
+    def __init__(self, funs: dict[str, Function], entry: str):
+        self.funs = funs
+        self.entry = entry
+
+    def find_dependencies(self, name: str) -> list[str]:
+        funs_list, queue = [], [name]
+        while len(queue) != 0:
+            fun = queue.pop(0)
+            if fun in self.funs:
+                funs_list.append(fun)
+                queue.extend(name for name in self.funs[fun].dependencies)
+        return funs_list
+
+    def rename(self, old_name: str, new_name: str):
+        for fun in self.funs.values():
+            fun.rename(old_name, new_name)
+        f = self.funs.pop(old_name)
+        f.name = new_name
+        self.funs[new_name] = f
+
+    def fill_fun(self, name: str, anpl: 'ANPL'):
+        # assert not (len(self.get_holes()) > 0 and len(anpl.get_holes()) > 0), "Both ANPL have holes"
+        self.funs[name].reset_to_hole()
+        if anpl.entry != name:
+            self.rename(name, anpl.entry)
+            name = anpl.entry
+        for newname, newfun in anpl.funs.items():
+            if newname not in self.funs:
+                self.funs[newname] = newfun
+            else:
+                self.funs[newname].merge(newfun)
+        self.clean(self.entry)
+    
+    def clean(self, name: str):
+        assert name in self.funs.keys(), "Cannot find function"
+        remained_funs = [fun_name for fun_name in self.find_dependencies(name)]
+        removed_funs = [fun_name for fun_name in self.funs.keys() if fun_name not in remained_funs]
+        for fun_name in removed_funs:
+            self.funs.pop(fun_name, None)
+        self.entry = name
+
+    def get_holes(self) -> list[str]:
+        return [f.name for f in self.funs.values() if not f.code]
+    
+    def user_known_funs(self) -> list[str]:
+        return [f.name for f in self.funs.values() if f.code_from_user or f.prompt_from_user]
+
+    def to_python(self, name: Optional[str] = None, for_user=False) -> str:
+        funs_name = reversed(self.find_dependencies(name or self.entry))
+        funs = map(lambda x: self.funs[x], funs_name)
+        selected_funs = filter(lambda f: f.code and (f.code_from_user or not for_user), funs)
+        codes = deepcopy(ANPL.ENV)
+        codes.body.extend(f.code for f in selected_funs)
+        # ast.fix_missing_locations(codes) Maybe Useful?
+        return ast.unparse(codes)
+    
\ No newline at end of file

anpl/parser.py

+from .anpl import ANPL, Function
+from typing import Tuple, Optional
+import re
+import ast
+from .sandbox import import_module_from_string
+
+
+class FunctionDef(ast.NodeVisitor):
+
+    @staticmethod
+    def is_hole(node: ast.FunctionDef):
+        """
+        functions with nothing but a signature can not be parsed
+        functions that only have docstring is a hole
+        see cpython ast.py get_docstring
+        """
+        if len(node.body) == 1 and isinstance(node.body[0], ast.Expr):
+            s = node.body[0].value
+            return isinstance(s, ast.Str) or (isinstance(s, ast.Constant) and isinstance(s.value, str))
+        return False
+
+    def __init__(self, undefined_funs: dict[str, Function], from_user: bool):
+        self.defined_funs: dict[str, Function] = {}
+        self.undefined_funs = undefined_funs
+        self.from_user = from_user
+        self.current_caller = None
+
+    def visit_FunctionDef(self, node):
+        if self.is_hole(node):
+            self.undefined_funs[node.name] = Function(node.name, ast.get_docstring(node), code_from_user=False, prompt_from_user=self.from_user)
+        else:
+            self.current_caller = Function(node.name, ast.get_docstring(node), node, code_from_user=self.from_user, prompt_from_user=self.from_user)
+            self.defined_funs[node.name] = self.current_caller
+            self.generic_visit(node)
+        
+    def visit_Call(self, node):
+        # If there is no current_caller, it should be top-level expression to compute some constants.
+        if self.current_caller and isinstance(node.func, ast.Name):
+            func_name = node.func.id
+            if func_name == self.current_caller.name:
+                self.current_caller.is_recursive = True
+            else:
+                self.current_caller.add_dependency(func_name)
+        self.generic_visit(node)
+
+class ANPLParser:
+
+    def __init__(self):
+        self.hole_id = 0
+        self.inline_fun_def_pattern = re.compile(r'(?<=`).+?(?=`)')
+
+    def extract_inline_function_def(self, source_code: str) -> Tuple[str, dict[str, Function]]:
+        inline_funs = list(dict.fromkeys(re.findall(self.inline_fun_def_pattern, source_code)))
+        funs = {}
+        for doc in inline_funs:
+            name = f"_hole{self.hole_id}"
+            self.hole_id += 1
+            funs[name] = Function(name, doc)
+            source_code = source_code.replace(f"`{doc}`", name)
+        return source_code, funs
+    
+    def parse(self, source_code: str, from_user: bool=True) -> ANPL:
+        source_code, undefined_funs = self.extract_inline_function_def(source_code)
+
+        module_node = ast.parse(source_code)
+        visitor = FunctionDef(undefined_funs, from_user)
+        visitor.visit(module_node)
+        defined_funs = visitor.defined_funs
+        funs = undefined_funs | defined_funs
+
+        subfuns = {name for fun in funs.values() for name in fun.dependencies}
+        entries = set(defined_funs.keys()) - subfuns
+        assert len(entries) == 1, "The number of entry is not 1"
+
+        anpl = ANPL(funs, entries.pop())
+        # another check
+        import_module_from_string(anpl.to_python())
+        return anpl
+    
+    def try_parse(self, source_code, from_user=True) -> Optional[ANPL]:
+        old_hole_id = self.hole_id
+        try:
+            return self.parse(source_code, from_user)
+        except Exception as e:
+            print(e)
+            self.hole_id = old_hole_id
+            return None

anpl/sandbox.py

+import importlib
+import functools
+from threading import Thread
+
+def import_module_from_string(source: str):
+    spec = importlib.util.spec_from_loader("arc", loader=None)
+    module = importlib.util.module_from_spec(spec)
+    exec(source, module.__dict__)
+    return module
+
+def timeout(timeout):
+    def deco(func):
+        @functools.wraps(func)
+        def wrapper(*args, **kwargs):
+            res = [Exception('function [%s] timeout [%s seconds] exceeded!' % (
+                func.__name__, timeout))]
+
+            def f():
+                try:
+                    res[0] = func(*args, **kwargs)
+                except Exception as e:
+                    res[0] = e
+            t = Thread(target=f, daemon=True)
+            try:
+                t.start()
+                t.join(timeout)
+            except Exception as e:
+                res[0] = e
+            ret = res[0]
+            if isinstance(ret, BaseException):
+                raise ret
+            return ret
+        return wrapper
+    return deco

anpl/synthesizer.py

+from .anpl import ANPL
+from copy import deepcopy
+import openai
+from openai.error import RateLimitError
+from typing import Optional
+import time
+import re
+ 
+def msg(role: str, content: str): return {"role": role, "content": content}
+
+def is_valid_python_syntax(string):
+    try:
+        compile(string, '<string>', 'exec')
+        return True
+    except SyntaxError:
+        return False
+
+pattern = re.compile(r"```python(.+?)```", flags=re.DOTALL)
+def extract_code(text: str):
+    print(text)
+    codes =[match.strip() for match in re.findall(pattern, text)]
+    if len(codes) > 0:
+        code = "\n".join(codes)
+        if is_valid_python_syntax(code):
+            return code
+    return None
+
+def collect(res: dict): return [extract_code(choice["message"]["content"]) for choice in res["choices"]]
+
+def raw_query(msgs: list[dict], retries=3, **config) -> list[Optional[str]]:
+    for i in range(retries):
+        print("retries")
+        print(i)
+        try:
+            res = openai.ChatCompletion.create(messages=msgs, **config)
+            return res
+        except RateLimitError:
+            if i == retries - 1:
+                raise RateLimitError
+            print("start sleep")
+            time.sleep(20 * (2 ** i))
+            print("sleep end")
+
+def query(msgs: list[dict], retries=3, **config) -> list[Optional[str]]:
+    return collect(raw_query(msgs, retries, **config))
+
+def hole_coder(source_code, hole):
+    system_prompt = 'As a pythonGPT, your task is to complete the unimplemented functions in the given python code, which are referred to as "holes" and are labeled as _hole0, _hole1, _hole2, and so on. Your implementation should align with the code and documentation using Python.'
+    user_prompt = """```python
+{code}
+```
+The function needs to be given a new name. Markdown format should be used to return it.
+```python
+{hole}
+```"""
+    return [msg("system", system_prompt), msg("user", user_prompt.format(code=source_code, hole=hole))]
+
+def hole_resyner(source_code, hole):
+    system_prompt = 'As a pythonGPT, your task is to complete the unimplemented functions in the given python code, which are referred to as "holes". Your implementation should align with the code and documentation using Python.'
+    user_prompt = """```python
+{code}
+```
+Markdown format should be used to return it.
+```python
+{hole}
+```"""
+    return [msg("system", system_prompt), msg("user", user_prompt.format(code=source_code, hole=hole))]
+
+def fun_synthesis(anpl: ANPL, name: str, temp:float = 0) -> Optional[str]:
+    actor = hole_coder if name.startswith("_hole") else hole_resyner
+    msgs = actor(anpl.to_python(), f"# {anpl.funs[name].prompt}\ndef {name}")
+    res = query(msgs, model="gpt-3.5-turbo", max_tokens=1024, temperature=temp)[0]
+    return res
+
+def batch_fun_synthesis(anpl: ANPL, name: str, n:int, temp:float) -> list[Optional[str]]:
+    anpl_for_prompt = deepcopy(anpl)
+    actor = hole_coder if name.startswith("_hole") else hole_resyner
+    anpl_for_prompt.funs[name].reset_to_hole()
+    msgs = actor(anpl_for_prompt.to_python(), f"# {anpl.funs[name].prompt}\ndef {name}")
+    reses = query(msgs, model="gpt-3.5-turbo", max_tokens=1024, n=n, temperature=temp)
+    assert len(reses) == n, "OpenAI doesn't return enough responce"
+    return reses

anpl/tracer.py

+from .anpl import ANPL, IOExample
+import types
+from copy import deepcopy
+import functools
+from .sandbox import import_module_from_string, timeout
+from typing import Optional, Any
+
+class IOCollector:
+
+    def __init__(self, fun_name: str, module):
+        self.ios = []
+        self.fun_name = fun_name
+        self.crash = False
+
+        # Add deco to the function
+        fun = getattr(module, fun_name, None)
+        assert fun and isinstance(fun, types.FunctionType), f"{fun_name} is not a function."
+        setattr(module, fun_name, self.trace(fun))
+
+    def trace(self, func):
+        @functools.wraps(func)
+        def wrapper(*args, **kwargs):
+            names, values = func.__code__.co_varnames[:func.__code__.co_argcount], args
+
+            inputs = {name: value for name, value in zip(names, values)}
+            if kwargs:
+                inputs = inputs | kwargs
+
+            frozen_inputs = deepcopy(inputs)
+            try:
+                output = func(*args, **kwargs)
+            except Exception as e:
+                self.crash = True
+                raise e
+                # TODO Should we show user inputs which caused error?
+                # self.ios.append(IOExample(inputs, None))
+            frozen_output = deepcopy(output)
+            self.ios.append(IOExample(frozen_inputs, frozen_output))
+            return output
+        return wrapper
+
+
+def anpl_trace(anpl: ANPL, fun_name: str, inputs: dict[str, Any], entry: Optional[str] = None) -> IOCollector:
+    assert len(anpl.get_holes()) == 0, "There are still holes in ANPL"
+    module = import_module_from_string(anpl.to_python())
+    io = IOCollector(fun_name, module)
+    entry_point = getattr(module, entry or anpl.entry, None)
+    inputs = deepcopy(inputs) # Important. ANPL Execution should not change the server's env.
+    try:
+        f = timeout(timeout=1)(entry_point)
+        f(**inputs)
+        return io
+    except Exception:
+        return io
+
+def anpl_check(anpl: ANPL, fun_name: str) -> bool:
+    assert len(anpl.funs[fun_name].gloden_ios) > 0
+    for io in anpl.funs[fun_name].gloden_ios:
+        ioc = anpl_trace(anpl, fun_name, io.inputs, fun_name) 
+        if ioc.crash or len(ioc.ios) < 1:
+            return False
+        # if len(ioc.ios) > 1:
+        #     print("This function should be a recursive function because we have collected many ios. Check")
+        real_io = ioc.ios.pop()
+        if not (real_io == io):
+            return False
+    return True
\ No newline at end of file

data/0.json

+{"input": [[7, 0, 7], [7, 0, 7], [7, 7, 0]], "output": [[7, 0, 7, 0, 0, 0, 7, 0, 7], [7, 0, 7, 0, 0, 0, 7, 0, 7], [7, 7, 0, 0, 0, 0, 7, 7, 0], [7, 0, 7, 0, 0, 0, 7, 0, 7], [7, 0, 7, 0, 0, 0, 7, 0, 7], [7, 7, 0, 0, 0, 0, 7, 7, 0], [7, 0, 7, 7, 0, 7, 0, 0, 0], [7, 0, 7, 7, 0, 7, 0, 0, 0], [7, 7, 0, 7, 7, 0, 0, 0, 0]]}
\ No newline at end of file

data/1.json

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data/148.json

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data/149.json

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data/15.json

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data/150.json

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data/151.json

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data/152.json

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data/153.json

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data/154.json

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data/155.json

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data/156.json

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data/175.json

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data/180.json

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data/20.json

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data/200.json

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data/201.json

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data/202.json

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data/203.json

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data/204.json

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data/205.json

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data/206.json

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data/207.json

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data/301.json

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data/302.json

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data/303.json

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data/304.json

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data/305.json

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data/306.json

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data/307.json

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data/308.json

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data/31.json

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data/310.json

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data/311.json

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data/312.json

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data/313.json

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data/314.json

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data/315.json

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data/316.json

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data/317.json

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data/318.json

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data/32.json

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data/320.json

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data/321.json

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data/367.json

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data/368.json

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data/369.json

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data/37.json

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data/370.json

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data/371.json

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data/372.json

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data/373.json

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data/374.json

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data/375.json

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data/376.json

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data/377.json

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data/378.json

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data/44.json

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data/45.json

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data/46.json

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data/47.json

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data/48.json

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data/49.json

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data/5.json

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data/50.json

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data/51.json

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data/52.json

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data/53.json

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data/54.json

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data/55.json

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data/56.json

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data/57.json

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data/58.json

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data/59.json

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data/6.json

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data/60.json

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data/61.json

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data/62.json

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data/63.json

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data/64.json

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\ No newline at end of file

data/95.json

+{"input": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 8, 8, 8, 1, 1, 1, 4, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 8, 1, 8, 1, 1, 1, 4, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 8, 8, 8, 1, 1, 1, 4, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 3, 3, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 3, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 3, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 3, 3, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 6, 6, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 6, 1, 1, 1, 1], [1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 6, 1, 1, 1, 1]], "output": [[4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4], [4, 2, 2, 2, 1, 1, 1, 2, 2, 2, 4], [4, 2, 6, 6, 1, 1, 1, 6, 6, 2, 4], [4, 2, 6, 3, 3, 1, 3, 3, 6, 2, 4], [4, 1, 1, 3, 8, 8, 8, 3, 1, 1, 4], [1, 1, 1, 1, 8, 1, 8, 1, 1, 1, 1], [4, 1, 1, 3, 8, 8, 8, 3, 1, 1, 4], [4, 2, 6, 3, 3, 1, 3, 3, 6, 2, 4], [4, 2, 6, 6, 1, 1, 1, 6, 6, 2, 4], [4, 2, 2, 2, 1, 1, 1, 2, 2, 2, 4], [4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4]]}
\ No newline at end of file

data/96.json

+{"input": [[0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0, 0, 3], [3, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 0, 0, 3], [3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 3, 0, 0, 0, 0, 3, 3, 3, 0, 0], [3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3], [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0], [0, 0, 0, 0, 3, 3, 0, 0, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 0, 0], [0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3], [0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 3, 3, 0, 3, 3, 0, 0, 0, 0, 0], [3, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0], [3, 0, 3, 0, 0, 0, 0, 0, 3, 0, 0, 3, 0, 0], [3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 3, 0, 0, 3, 0, 0, 0, 0, 0, 3, 3]], "output": [[0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3], [3, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 0, 0, 3], [3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 0, 0, 3, 3, 3, 0, 0], [0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 3, 3, 0, 3, 3, 0, 0, 0, 0, 0], [3, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0], [3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 3, 0, 0, 3, 0, 0, 0, 0, 0, 3, 3]]}
\ No newline at end of file

data/97.json

+{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 6, 6, 6, 6, 0, 0, 0, 0], [0, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 6, 6, 6, 6, 0, 0, 0, 0], [0, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 6, 6, 6, 6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 6, 6, 6, 6, 0, 0, 0, 0], [0, 8, 0, 0, 0, 0, 8, 0, 0, 0, 0, 6, 0, 0, 6, 0, 0, 0, 0], [0, 8, 8, 8, 8, 8, 8, 0, 0, 0, 0, 6, 6, 6, 6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}
\ No newline at end of file

data/98.json

+{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 1, 1, 0, 0, 0, 0, 0], [1, 0, 4, 0, 1, 0, 0, 0, 0, 0], [1, 0, 0, 0, 1, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 0, 0, 0, 1, 0, 7, 0, 1, 0], [0, 0, 0, 0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 1, 1, 1, 1, 1, 0]], "output": [[4, 4, 4, 4, 4, 0, 0, 0, 0, 0], [1, 1, 4, 1, 1, 0, 0, 0, 0, 0], [1, 4, 4, 4, 1, 0, 0, 0, 0, 0], [1, 4, 4, 4, 1, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 7, 7, 7, 7, 7, 0], [0, 0, 0, 0, 1, 1, 7, 1, 1, 0], [0, 0, 0, 0, 1, 7, 7, 7, 1, 0], [0, 0, 0, 0, 1, 7, 7, 7, 1, 0], [0, 0, 0, 0, 1, 1, 1, 1, 1, 0]]}
\ No newline at end of file

data/99.json

+{"input": [[3, 3, 3, 3, 3, 0, 9, 9, 9, 9], [3, 0, 0, 0, 3, 0, 9, 0, 0, 9], [3, 0, 0, 0, 3, 0, 9, 0, 0, 9], [3, 0, 0, 0, 3, 0, 9, 0, 0, 9], [3, 0, 0, 0, 3, 0, 9, 0, 0, 9], [3, 0, 0, 0, 3, 0, 9, 0, 0, 9], [3, 0, 0, 0, 3, 0, 9, 0, 0, 9], [3, 0, 0, 0, 3, 0, 9, 0, 0, 9], [3, 3, 3, 3, 3, 0, 9, 0, 0, 9], [0, 0, 0, 0, 0, 0, 9, 9, 9, 9]], "output": [[3, 3], [3, 3]]}
\ No newline at end of file

key.txt

+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
\ No newline at end of file

readme.md

+# ANPL - A Natural Programming Language
+
+## requirements
+
+本项目需要`Python >= 3.9`(因为用到了ast.unparse, 辛苦大家装一下环境 TAT)
+你可以通过运行`pip install -r requirements.txt`安装环境。
+代码依赖于三个库
+- numpy: grid处理
+- rich: 漂亮的命令行
+- openai: 连接ChatGPT
+
+为了成功连接openai，需要在**良好的网络环境**下进行。
+openai_key复制到key.txt中即可。
+
+## robotA
+
+### ANPL Syntax
+
+首先介绍一下ANPL的语法。当系统提示`Please enter your anpl code.`时，即需要输入ANPL code。
+ANPL非常简单，只需要记住以下两点即可：
+1. ANPL是Python的超集，所以任何Python语法都可以在ANPL中使用。
+2. 当不想/不会写一个函数时，请直接填写自然语言。
+以下是一个例子。
+
+```python
+def main(input_grid: np.ndarray) -> np.ndarray:
+    """
+    In the input, you should see a 6x3 grid with black and blue pixels. There is a pattern that repeats itself from top to bottom.
+    """
+    repeating_unit = `find the smallest repeating unit`(input_grid)
+    output_grid = np.empty((9, 3), dtype=input_grid.dtype)
+    output_grid = `copy the repeating unit to fill the grid from top to down`(repeating_unit)
+    output_grid = `replace blue pixels with red`(output_grid)
+    return output_grid
+```
+
+可以看出，原先应该填**函数名**的的地方换成了两个反引号括起来的**自然语言**。
+我们把这种只有自然语言描述，没有具体实现的函数叫做**Hole**。
+
+此外，main函数也有一个文档字符串(docstring)，此处可以填写对此函数的补充说明。
+如果你认为一个hole可能会使用多次，也可以声明一个新函数，并只写docstring，如下所示。
+```python
+def do_something(grid):
+    "Dooooooooo Something Coooooooooool"
+
+def main(input_grid: np.ndarray) -> np.ndarray:
+    output = do_something(input_grid)
+    output = do_something(output)
+    return output
+```
+robot会自动寻找所有的hole，并尝试将hole转变为函数。
+
+以及请不要使用其他特性，比如import其他库，定义class之类的。太复杂了，写不过来了😥。
+
+### Warning: Broken Change
+
+一个与开会中讲的不同的地方：开会时提到了namedtuple，注意现在已经被废弃了！请使用python自带的元组和字典吧。
+
+### ANPL Robot
+
+运行 `python robotA.py`，即可开始。
+首先输入需要解决的任务id，系统会自动加载测试IO并开始记录用户行为。
+
+robotA主要有4种命令（比开会说的新增了一种！）
+1. trace 检查IO。给一个函数名，检查一下函数的输入输出都是什么样子。函数的输入输出会以两种形式打印，visual是用来看的，textual是用来复制粘贴修改的。
+2. edit 直接为某个hole写anpl程序。也可以叫做refine细化或者decompose分解，总之是将一个大任务拆分成多个小任务。edit完之后，robot会寻找hole并实现的。
+3. resynthesis 用户为某个函数输入一对IO，命令gpt重新生成许多实现，并根据用户给定的IO选择正确的一个。用户为某个函数输入的IO都会被保存下来，重新生成的函数比如通过所有用户提供的IO才算正确。当然，这个指令建议在你觉得你已经描述的很清楚，但是ChatGPT生成不对的情况下用。如果你本身描述就非常复杂，建议还是edit吧。此外，这个命令真的很烧钱，也比较慢😭大家省着点用。
+4. 新加了一个Remove IO指令。害怕有同学一不小心输错了IO，可以用这个指令删除。
+
+**第一次编程很重要**！请在第一次编程前思考清楚，因为第一次交互提供的信息最多，会极大的影响后续结果。
+
+## robotB
+
+只是一个聊天机器人🤖，为了公平比较才做的。包含了四个命令。
+1. Chat: 就是你想的那样，你发一段消息，它回一段消息。
+2. Remove History: 首先展示所有已有消息，用户输入一个消息的id, 将此id及其以后的消息全部删除。
+3. Check: 需要用户把一段python代码粘贴进去(是完整的python代码, 需要import)。方便用户检查生成代码的正确性。
+
+为什么需要Remove History呢？原因有2: 
+1. 你可能聊着聊着发现话题聊飞了，需要纠正一下。
+2. chatgpt 3.5 有一个限制: 所有的历史消息加起来必须小于4097个token。所以当聊的太长时，API会报错的。这时你需要把历史消息删除一部分才能继续聊下去。
+
+如果你的聊天内容太长，又舍不得直接删除，就需要你总结一下目前的关键信息，清空聊天记录后再发送给ChatGPT了。
+请注意，如果你是登峰造极的Python高手，你一眼就看出了错误，请**不要**直接告诉chatgpt代码怎么写，或者直接修改Python代码，甚至人手写Python代码。
+这就不是自然语言编程了。你应该用自然语言，和输入输出样例去提示ChatGPT修改其代码。
+
+**第一次对话很重要**！请在第一次对话前思考清楚，第一次对话应该包含能够解出这道题目的所有信息。
+
+## 注意事项
+
+众所周知，把程序当作字符串玩儿是一件很危险的事情。再加上是chatgpt生成的字符，所以
+
+1. 我们的命令行聊天程序很脆弱😭，请不要用奇怪的数据测试它，包括在输入的代码中添加危险代码，或者prompt注入。我们的第一目标是完成user study。
+2. 程序崩溃时怎么办？请保留log文件以及报错信息，通过微信联系一个皮卡丘头像的人。他会尽快解决的！与此同时，你可以尝试其他题目。
+3. 由于每天都要修bug，所以请尽量与gitlab仓库同步，时不时就pull一下。尤其当你发现bug时，可以先尝试更新到最新版本，可能已经解决了。
+4. 如果你一眼看出了bug/垃圾代码，欢迎提issue或者pr，我们会积极修改，尽量提升大家的使用体验。
+
+## 数据提交
+
+当做完一道题后，log文件夹下会新增一个文件，即为该题的记录。每日做完题目后，请把当日的log打包并发送至`nanziyuan21s@ict.ac.cn`, 感谢🙇‍
+由于时间紧，任务重，大家如果需要请假最好能尽早告知我们，我们好找人填补空缺。

requirements.txt

+openai
+rich
+numpy
\ No newline at end of file

robotA.py

+from rich.prompt import Confirm, Prompt, IntPrompt
+from rich.progress import track
+from utils import sys_str, system_info, code_input, value_input, print_anpl, print_IOExamples, select_task, set_openai_key, fun_select, print_text_IOExamples
+from copy import deepcopy
+import time
+
+
+from anpl.anpl import IOExample, ANPL
+from anpl.parser import ANPLParser
+from anpl.synthesizer import fun_synthesis, batch_fun_synthesis
+from anpl.tracer import anpl_check, anpl_trace
+
+hole0_str = """\
+def find_smallest_repeating_unit(input_grid: np.ndarray) -> np.ndarray:
+    for row in range(1, input_grid.shape[0]):
+        if np.array_equal(input_grid[:row, :], input_grid[row:row*2, :]):
+            return input_grid[:row, :]
+    return input_grid
+"""
+
+hole1_str = """\
+def copy_repeating_unit(unit):
+    return np.repeat(matrix, 2, axis=0)
+"""
+
+hole2_str = """\
+def replace_pixels(output_grid):
+    output_grid[output_grid == blue] = yellow
+    return output_grid
+"""
+
+re_hole1_0_str = """\
+def copy_repeating_unit(unit):
+    raise NotImplementedError
+"""
+
+re_hole1_1_str = """\
+def copy_repeating_unit(unit):
+    output_grid = np.empty((9, 3), dtype=unit.dtype)
+    num_repeats = output_grid.shape[0] // unit.shape[0]
+    remainder = output_grid.shape[0] % unit.shape[0]
+    for i in range(num_repeats):
+        output_grid[i * unit.shape[0]:(i + 1) * unit.shape[0], :] = unit
+    if remainder:
+        output_grid[num_repeats * unit.shape[0]:, :] = unit[:remainder, :]
+    return output_grid
+"""
+
+fake_reses = [hole0_str, hole1_str, hole2_str, [re_hole1_0_str, re_hole1_1_str]]
+idx = 0
+
+set_openai_key()
+task_id, logger, input_grid, output_grid = select_task()
+logger.log("system", "intro", "a")
+
+
+parser = ANPLParser()
+anpl = code_input(parser, logger)
+
+def syn_anpl(anpl: ANPL):
+    holes = anpl.get_holes()
+    for hole in track(holes, description="Synthesizing..."):
+        for i in range(5):
+            print(i)
+            res = fun_synthesis(anpl, hole, temp=i*0.1)
+            # global idx
+            # res = fake_reses[idx]
+            # idx += 1
+            logger.log("gpt", "syn code", res)
+            if res:
+                newanpl = parser.try_parse(res, from_user=False)
+                if newanpl:
+                    logger.log("system", "parse_gpt", "success")
+                    if not hole.startswith("_hole"):
+                        newanpl.clean(hole)
+                    anpl.fill_fun(hole, newanpl)
+                    break
+                logger.log("system", "parse_gpt", "error")
+
+    if len(anpl.get_holes()) > 0:
+        logger.log("system", "syn_error", "cannot synthesis code")
+        raise NotImplementedError("Cannot Synthesis")
+
+def io_input(anpl: ANPL, name: str, logger):
+    system_info(f"Please show me an Input-Output example for [italic yellow]{name}[/italic yellow]")
+    logger.log("system", "error", "show user function with no code")
+    assert anpl.funs[name].code, "No code for function"
+    params = anpl.funs[name].get_params()
+    ins = {}
+    for param in params:
+        ins[param] = value_input(param, logger)
+    out = value_input("output", logger) 
+    anpl.funs[name].gloden_ios.append(IOExample(ins, out))
+
+syn_anpl(anpl)
+in_param = anpl.funs[anpl.entry].get_params()
+if len(in_param) != 1:
+    logger.log("system", "error", "The main function has multi param")
+assert len(in_param) == 1, "The main function should have only 1 param."
+anpl.funs[anpl.entry].gloden_ios.append(IOExample({in_param[0]: input_grid}, output_grid))
+is_correct = anpl_check(anpl, anpl.entry)
+
+
+while not is_correct:
+    system_info("[red]ANPL WRONG[/red] Here is the anpl program.")
+    print_anpl(anpl)
+
+    cmd = Prompt.ask(sys_str + "Which command would you like to do? [1] Trace [2] Edit [3] Resynthesis [4] Remove IO [5] Quit", choices=["1", "2", "3", "4", "5"])
+    if cmd == "5":
+        quit_time = time.time()
+        if quit_time - logger.start_time < 30 * 60:
+            if Confirm.ask(sys_str + "Less than 30 minutes. Do you really want to exit?"):
+                logger.log("user", "quit", "force")
+                break
+            else:
+                continue
+
+    fun_name = fun_select(anpl, logger, cmd == "1" or cmd == "2")
+    if cmd == "1":
+        logger.log("user", "trace", f"{fun_name}")
+        ioc = anpl_trace(anpl, fun_name, anpl.funs[anpl.entry].gloden_ios[0].inputs)
+        if ioc.crash:
+            logger.log("system", "trace_err", f"{fun_name}: crash")
+            system_info("[red]ANPL crash in this function.[/red]")
+        elif len(ioc.ios) == 0:
+            logger.log("user", "trace_err", f"{fun_name}: crash before this function")
+            system_info("[red]ANPL crash before this function.[/red]")
+        else:
+            logger.log("user", "trace_ok", f"{fun_name}: show io to user")
+            system_info("[green]Visual IO[/green]")
+            print_IOExamples(ioc.ios)
+            system_info("[green]Textual IO[/green]")
+            print_text_IOExamples(ioc.ios)
+
+    elif cmd == "2":
+        logger.log("user", "edit", f"{fun_name}")
+        system_info(f"Please input your code for [italic yellow]{fun_name}[/italic yellow]")
+        newanpl = code_input(parser, logger)
+        if newanpl.entry != fun_name:
+            logger.log("system", "edit_err", f"{fun_name} {newanpl.entry} is not match")
+            system_info("[red]Function name don't match.[/red]")
+            continue
+        test_anpl = deepcopy(anpl)
+        test_anpl.fill_fun(fun_name, newanpl)
+        try:
+            syn_anpl(test_anpl)
+        except NotImplementedError:
+            continue
+        anpl = test_anpl
+
+    elif cmd == "3":
+        logger.log("user", "resyn", f"{fun_name}")
+        io_input(anpl, fun_name, logger)
+        system_info("Synthesizing...")
+        find_correct_anpl = False
+        raw_test_anpl = deepcopy(anpl)
+        raw_test_anpl.funs[fun_name].reset_to_hole()
+        reses = batch_fun_synthesis(test_anpl, fun_name, 10, 0.8) # The same config as CodeT
+        # reses = fake_reses[3]
+        for res in track(reses, description="Checking"):
+            if res is None:
+                logger.log("gpt", "resyn", "nothing")
+                continue
+            logger.log("gpt", "resyn", "res")
+            newanpl = parser.try_parse(res, from_user=False)
+            if newanpl is None:
+                logger.log("system", "resyn_err", "gpt return wrong python")
+                continue
+
+            test_anpl = deepcopy(raw_test_anpl)
+            test_anpl.fill_fun(fun_name, newanpl)
+            if anpl_check(test_anpl, fun_name):
+                logger.log("system", "resyn_ok", "code pass user's io")
+                anpl = test_anpl
+                find_correct_anpl = True
+                break
+
+        if find_correct_anpl:
+            logger.log("system", "resyn_ok", "resynthesis correct function")
+            system_info("[green]Function Correct[/green].")
+        else:
+            logger.log("system", "resyn_fail", "cannot resynthesis correct function")
+            system_info("[red]Cannot synthesis correct function.[/red].")
+    else:
+        logger.log("user", "remove_io", f"{fun_name}")
+        ios = anpl.funs[fun_name].gloden_ios
+        system_info(f"Here is all IO Examples of {fun_name}.")
+        print_IOExamples(ios)
+        idx = IntPrompt.ask("Which io would you like to remove? -1 to return")
+        logger.log("user", "remove_io_exit", "nothing")
+        if idx != -1:
+            if idx not in range(0, len(ios)):
+                logger.log("system", "remove_io_err", f"{fun_name}: {idx}")
+                system_info(f"[red]{fun_name} doesn't have the {idx}th IO [/red].")
+            else:
+                logger.log("system", "remove_io_info", f"{fun_name}: {idx}")
+                ios.pop(idx)
+        continue
+
+    is_correct = anpl_check(anpl, anpl.entry)
+    logger.log("system", "anpl_check", f"{is_correct}")
+
+if is_correct:
+    system_info("[green]ANPL CORRECT[/green], and here is the code")
+    print_anpl(anpl, for_user=False)
+else:
+    system_info("Good luck next time.")
+logger.log("system", "exit", str(is_correct))

robotB.py

+from anpl.synthesizer import raw_query, msg
+from utils import sys_str, system_info, multiline_input, select_task, set_openai_key
+from rich.prompt import IntPrompt, Confirm, Prompt
+from rich import print
+from anpl.sandbox import import_module_from_string
+import numpy as np
+import time
+
+history = []
+def print_msg(message):
+    role, text = message["role"], message["content"]    
+    print(f"[blue]{role}[/blue]:")
+    print(text)
+
+def print_history():
+    for i, message in enumerate(history):    
+        print(f"Message{i} ", end="")
+        print_msg(message)
+
+set_openai_key()
+task_id, logger, inp, real_out = select_task()
+logger.log("system", "intro", "b")
+
+is_correct = False
+while not is_correct:
+    cmd = Prompt.ask(sys_str + "Which command would you like to do? [1] Chat [2] Remove history [3] Check Code [4] Quit", choices=["1", "2", "3", "4"])
+    
+    if cmd == "1":
+        system_info("Please input your description or IO examples")
+        user_input = multiline_input()
+        new_message = msg("user", user_input)
+        history.append(new_message)
+
+        logger.log("user", "chat", new_message)
+        
+        try:
+            res = raw_query(history, model="gpt-3.5-turbo", max_tokens=1024, n=1, temperature=0)
+        except Exception as e:
+            system_info("[red]ChatGPT Error[/red]")
+            logger.log("gpt", "error", str(e))
+            print(e)
+            continue
+
+        res = res["choices"][0]["message"]
+        logger.log("gpt", "responce", res)
+
+        history.append(res)
+        print_msg(res)
+
+    elif cmd == "2":
+        if len(history) > 0:
+            print_history()
+            msg_idx = IntPrompt.ask(sys_str + "Remove all messages after the i-th message (including message i)")
+            if msg_idx < 0 or msg_idx > len(history):
+                logger.log("user", "remove", "invalid idx")
+                system_info("[red]Please input a valid message id[/red]")
+            else:
+                logger.log("user", "remove", str(msg_idx))
+                history = history[:msg_idx]
+                system_info("[green]DONE[/green]")
+        else:
+            logger.log("user", "remove", "no history")
+            system_info("[red]No history[/red]")
+
+    elif cmd == "3":
+        system_info("Code will be executed from main function. The signature of main function should be `def main(input_grid):`")
+        system_info("Please enter your code")
+        code = multiline_input()
+        logger.log("user", "check", code)
+        try:
+            m = import_module_from_string(code)
+            out = m.main(inp)
+        except Exception as e:
+            logger.log("system", "check", f"crash: {e}")
+            system_info("[red]Crash[/red]")
+            print(e)
+        if np.array_equal(out, real_out):
+            logger.log("system", "check", f"correct")
+            system_info("[green] Code CORRECT [/green]")
+            is_correct = True
+        else:
+            logger.log("system", "check", f"wrong")
+            system_info("[red] Code WRONG [/red]")
+    else:
+        quit_time = time.time()
+        if quit_time - logger.start_time < 30 * 60:
+            if Confirm.ask(sys_str + "Less than 30 minutes. Do you really want to exit?"):
+                logger.log("user", "quit", "force")
+                break
+
+logger.log("system", "exit", str(is_correct))
\ No newline at end of file

test/test_ioexample.py

+import numpy as np
+from anpl.anpl import IOExample
+import unittest
+
+class TestIOExample(unittest.TestCase):
+
+    def test_io_equality(self):
+        a = IOExample({"i": np.array([1, 2, 3])}, 1)
+        b = IOExample({"i": np.array([1, 2, 3])}, 1)
+        self.assertTrue(a == b)
\ No newline at end of file

test/test_parsing.py

+import unittest
+from anpl.parser import ANPLParser
+
+class TestParse(unittest.TestCase):
+
+    def setUp(self) :
+        super().setUp()
+        self.parser = ANPLParser()
+
+    def test_00(self):
+        test_str = """
+def identify(input_grid):
+    \"\"\"
+    identify the smallest repeating unit
+    \"\"\"
+    for unit_length in range(1, input_grid.shape[0]):
+       small_grids = `divide the grid into multiple small grid based on the length of the repeating unit`(unit_length)
+       if `all the same, or the smaller grid is part of a larger grid`(small_grids):
+            return small_grids[0]
+
+def main(input_grid):
+    unit = identify(input_grid)
+    output_grid = `extend the input grid to 9x3 with unit`(input_grid, unit)
+    output_grid = `change all blue pixels to red`(output_grid)
+    return output_grid
+"""
+        anpl = self.parser.parse(test_str)
+        print(anpl.funs)
+
+    def test_extract_inline_function_def(self):
+        source_code = """
+def main(input_grid):
+    unit = identify(input_grid)
+    output_grid = `extend the input grid to 9x3 with unit`(unit)
+    output_grid = `change all blue pixels to red`(output_grid)
+    return output_grid
+"""
+        new_source, funs = self.parser.extract_inline_function_def(source_code)
+        self.assertFalse("`" in new_source)
+        self.assertEqual(len(funs), 2, "Do not correct extract inline functions")
+
+    def test_recursive(self):
+        source_code = """
+def flood_fill(grid, x, y):
+    if grid[x, y] == black:
+        f = array([3, 3, 3])
+        grid[x, y] = yellow
+        if x > 0:
+            flood_fill(grid, x-1, y)
+        if x < grid.shape[0] - 1:
+            flood_fill(grid, x+1, y)
+        if y > 0:
+            flood_fill(grid, x, y-1)
+        if y < grid.shape[1] - 1:
+            flood_fill(grid, x, y+1)
+"""
+        anpl = self.parser.parse(source_code)
+        f = list(anpl.funs.values())
+        self.assertEqual(len(f), 1, "Should only one function")
+        f = f[0]
+        self.assertTrue(f.is_recursive, "Should be a recursive function")
+        print(f)
+
+
+    def test_reverse_define(self):
+        source_code = '''
+import numpy as np
+from scipy.ndimage import label
+(black, blue, red, green, yellow, grey, pink, orange, teal, maroon) = range(10)
+
+def get_pattern(input_grid: np.ndarray) -> np.ndarray:
+    """
+    Get the pattern in the 3x3 grid in the upper left
+    """
+    return input_grid[:3, :3]
+
+def main(input_grid: np.ndarray) -> np.ndarray:
+    """
+    The input is a 10x10 grid with a 3x3 grid in the upper left surrounded by gray pixels.
+    """
+    p = get_pattern(input_grid)
+    out = find_and_replace_pattern(input_grid, p)
+    return out
+
+def find_and_replace_pattern(input_grid: np.ndarray, pattern: np.ndarray) -> np.ndarray:
+    """
+    Find a pattern with the same shape as the input pattern but with a different color in the rest of the input grid,
+    turn the pattern found into gray, return the changed 10x10 grid
+    """
+    # Find all unique colors in the input grid
+    unique_colors = np.unique(input_grid)
+
+    # Remove gray color from unique colors
+    unique_colors = unique_colors[unique_colors != grey]
+
+    # Create a dictionary to store the pattern with different colors
+    pattern_dict = {}
+
+    # Loop through all unique colors and create a pattern with the same shape as the input pattern
+    for color in unique_colors:
+        temp_pattern = np.zeros_like(pattern)
+        temp_pattern[input_grid[3:, 3:] == color] = 1
+        if np.array_equal(temp_pattern.shape, pattern.shape):
+            pattern_dict[color] = temp_pattern
+
+    # Find the pattern with the same shape as the input pattern but with a different color
+    for color, temp_pattern in pattern_dict.items():
+        if np.array_equal(temp_pattern, pattern):
+            new_color = color
+            break
+
+    # Replace the pattern found with gray color
+    input_grid[:3, :3][pattern == 1] = grey
+
+    # Replace the pattern with the new color
+    input_grid[3:, 3:][input_grid[3:, 3:] == new_color] = grey
+
+    return input_grid
+'''
+        anpl = self.parser.parse(source_code)
+        print(anpl.funs)
\ No newline at end of file

test/test_synthesizing.py

+import unittest
+from anpl.parser import ANPLParser
+from anpl.synthesizer import fun_synthesis, batch_fun_synthesis
+
+class TestSynthesizing(unittest.TestCase):
+
+    def setUp(self) -> None:
+        self.parser = ANPLParser()
+
+    def test_fun_synthesis(self):
+        source_code = """
+def hello(x, y):
+    "compute the sum of x, y"
+
+def main(a, b):
+    return hello(a, b) + 3
+"""
+        source_code = """
+def main(lst: list[int]):
+    return `get the max element of the list`(lst)
+"""
+        anpl = self.parser.parse(source_code)
+        res = fun_synthesis(anpl, "_hole0")
+        print(res)        
+
+    def test_batch_fun_synthesis(self):
+        source_code = """
+def main(lst: list[int]):
+    return `get the max element of the list`(lst)
+"""
+        anpl = self.parser.parse(source_code)
+        reses = batch_fun_synthesis(anpl, "_hole0", n=3, temp=0.2)
+        for res in reses:
+            print(res)
\ No newline at end of file

test/test_tracing.py

+import unittest
+from anpl.parser import ANPLParser
+from anpl.tracer import anpl_check, anpl_trace
+from anpl.anpl import IOExample
+import numpy as np
+from copy import deepcopy
+
+class TestTrace(unittest.TestCase):
+
+    def setUp(self) -> None:
+        self.parser = ANPLParser()
+
+    def test_anpl_check(self):
+        source_code = """
+def hello(x, y):
+    return x * 2 + y * 2
+
+def main(a, b):
+    return hello(a, b) + 3
+"""
+        anpl = self.parser.parse(source_code)
+        anpl.funs["hello"].gloden_ios.extend([IOExample({"x": 3, "y": 4}, 14)])
+        self.assertTrue(anpl_check(anpl, "hello"))
+
+
+    def test_recursive(self):
+        source_code = """
+def flood_fill(grid, x, y):
+    if grid[x, y] == black:
+        grid[x, y] = yellow
+        if x > 0:
+            flood_fill(grid, x-1, y)
+        if x < grid.shape[0] - 1:
+            flood_fill(grid, x+1, y)
+        if y > 0:
+            flood_fill(grid, x, y-1)
+        if y < grid.shape[1] - 1:
+            flood_fill(grid, x, y+1)
+    return grid
+"""
+        golden_in = {"grid": np.zeros((3, 3), dtype=int), "x": 0, "y": 0}
+        golden_out = np.full((3, 3), 4, dtype=int)
+        anpl = self.parser.parse(source_code)
+        anpl.funs["flood_fill"].gloden_ios.extend([IOExample(golden_in, golden_out)])
+        self.assertTrue(anpl_check(anpl, "flood_fill"))
+        
\ No newline at end of file

utils.py

+from anpl.anpl import IOExample
+from rich import print
+from rich.syntax import Syntax
+from rich.table import Table
+from rich.text import Text
+import numpy as np
+import json
+from rich.prompt import Prompt, IntPrompt
+from numpy import array
+import openai
+import time
+
+colors = ["#000000", "#0000FF", "#FF0000", "#008000", "#FFFF00",
+          "#808080", "#FFC0CB", "#FFA500", "#008080", "#800000"]
+
+def array_to_str(matrix):
+    text = Text()
+    for row in list(matrix):
+        for pixel in row:
+            text.append("⬛", style=colors[pixel])
+        text.append("\n")
+    return text
+
+def rich_dumps(obj):
+    def _dump_recursive(obj):
+        text = Text()
+        if isinstance(obj, np.ndarray):
+            return array_to_str(obj)
+        elif isinstance(obj, (list, tuple)):
+            text.append("[")
+            for x in obj:
+                text.append(_dump_recursive(x))
+                text.append(" ")
+            text.append("]")
+            return text
+        elif isinstance(obj, dict):
+            text.append("{")
+            for k, v in obj.items():
+                text.append(str(k) + ": ")
+                text.append(_dump_recursive(v))
+                text.append("\n")
+            text.append("}")
+            return text
+        else:
+            return Text(str(obj), style="blue")
+
+    dumped_obj = _dump_recursive(obj)
+    return dumped_obj
+
+
+def multiline_input():
+    buffer = ''
+    while True:
+        print("[blue]->[/blue]", end="")
+        line = input()
+        if not line: break
+        buffer += line + "\n"
+    return buffer
+
+sys_str = "[bold red]SYSTEM: [/bold red]"
+def system_info(text):
+    print(sys_str + text)
+
+def print_anpl(anpl, for_user=True):
+    print(Syntax(anpl.to_python(for_user=for_user), "python"))
+
+def print_text_IOExamples(ios: list[IOExample]):
+    for i, io in enumerate(ios):
+        print(f"The {i}th IO exmaples is")
+        for k in io.inputs.keys():
+            input_str = " ".join(io.inputs[k].__repr__().split())
+            print(f"{k}: {input_str}")
+        output_str = " ".join(io.output.__repr__().split())
+        print(f"output: {output_str}")        
+
+def print_IOExamples(ios: list[IOExample]):
+    # TODO assume len of output is all the same
+    table = Table(title="Inputs & Output")
+    assert len(ios) > 0, "don't have IO examples"
+    fio = ios[0]
+    table.add_column("IOExample id")
+    for k in fio.inputs.keys():
+        table.add_column(k)
+    table.add_column("Output")
+    
+    for i, io in enumerate(ios):
+        lst = [str(i)]
+        lst.extend([rich_dumps(io.inputs[k]) for k in fio.inputs.keys()])
+        lst.append(rich_dumps(io.output))
+        table.add_row(*lst)
+    print(table)
+
+def code_input(parser, logger):
+    anpl = None
+    system_info("Please enter your anpl code.")
+
+    while anpl is None:
+        user_input = multiline_input()
+        user_input = user_input
+        logger.log("user", "enter code", user_input)
+        anpl = parser.try_parse(user_input)
+        # system_info(f"[green]ANPL successfully parsed[/green]")
+        if anpl is None:
+            logger.log("system", "parse_user", "error")
+            system_info("[red]Your code is not correct. Please try again.[/red]")
+    logger.log("system", "parse_user", "success")
+    return anpl
+
+def value_input(param, logger):
+    while True:
+        try:
+            system_info(f"Please enter the value of [italic purple]{param}[/italic purple].")
+            user_input = input()
+            logger.log("user", "enter_io", f"{param}: {user_input}")
+            return eval(user_input)
+        except Exception as e:
+            logger.log("system", "check_user_io", "invalid python expression")
+            system_info("[red]Wrong. Please try again.[/red]")
+
+def fun_select(anpl, logger, with_main=False):
+    funs = [fname for fname in anpl.user_known_funs() if with_main or (fname != anpl.entry)]
+
+    table = Table(title="Functions")
+    table.add_column("[green]Function name[/green]")
+    table.add_column("has [blue]Code[/blue] or has [yellow]Prompt[/yellow]")
+    table.add_column("The number of IO Examples")
+
+    for fun_name in funs:
+        fun = anpl.funs[fun_name]
+        table.add_row(fun_name, "[blue]Code[/blue]" if fun.code_from_user else "[yellow]Prompt[/yellow]", str(len(fun.gloden_ios)))
+    print(table)
+    fun_name = Prompt.ask(sys_str + "Which function do you want to select?", choices=funs)
+
+    logger.log("user", "select function", fun_name)
+    return fun_name
+
+def set_openai_key():
+    openai.api_key_path = "./key.txt"
+
+
+class Logger:
+
+    def __init__(self, task_id):
+        timestr = time.strftime("%Y%m%d_%H%M%S")
+        self.start_time = time.time()
+        self.file_name = f"./log/task_{task_id}_{timestr}.log"
+        self.log("system", "start", "nothing")
+
+    def log(self, role, action, content):
+        s = {"role": role, "action": action, "content": content, "time": time.time()}
+        with open(self.file_name, "a") as f:
+            f.write(json.dumps(s))
+            f.write("\n")
+
+
+def select_task():
+    task_id = IntPrompt.ask(sys_str + "Which problem do you want to solve?")
+    assert task_id >= 0 and task_id < 400, "Please input a valid task id"
+    
+    with open(f"./data/{task_id}.json", "r") as f:
+        data = json.load(f)
+        input_grid = np.array(data["input"])
+        output_grid = np.array(data["output"])
+
+    return task_id, Logger(task_id), input_grid, output_grid
+